Boxwala et al., 2011 - Google Patents
Using statistical and machine learning to help institutions detect suspicious access to electronic health recordsBoxwala et al., 2011
View HTML- Document ID
- 12383361343947080899
- Author
- Boxwala A
- Kim J
- Grillo J
- Ohno-Machado L
- Publication year
- Publication venue
- Journal of the American Medical Informatics Association
External Links
Snippet
Objective To determine whether statistical and machine-learning methods, when applied to electronic health record (EHR) access data, could help identify suspicious (ie, potentially inappropriate) access to EHRs. Methods From EHR access logs and other organizational …
- 238000010801 machine learning 0 title abstract description 22
Classifications
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- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
- G06F19/322—Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
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- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Health care, e.g. hospitals; Social work
- G06Q50/24—Patient record management
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- G06Q10/00—Administration; Management
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- G06Q10/00—Administration; Management
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- G06F21/62—Protecting access to data via a platform, e.g. using keys or access control rules
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- G06Q10/00—Administration; Management
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